RESEARCHMonitorWATCHLIST
Measuring Mechanistic Uncertainty in Large Language Models via Causal Robustness
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers introduced a mechanistic uncertainty concept to quantify LLM reliability by measuring internal model intervention thresholds.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 19 October 2026
- Collected by OneBench
- 20 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2610.22636v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used in critical domains, where their susceptibility to hallucinations makes reliable and interpretable uncertainty…
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